Successful collaboration between clinicians is particularly relevant regarding the quality of
care process. In this context, the utilization of hybrid intelligence, such as conversational …

From our desk chairs it may be tempting to work up an idea, build a quick prototype, test it in
a lab, and say,“Our work here is done; the rest is merely details.” More scholarly knowledge …

Shared understanding has been claimed to be crucial for effective collaboration of
researchers and practitioners. Heterogeneity in work groups further strengthens the …

With rapid progress in machine learning, language technologies and artificial intelligence,
conversational agents (CAs) gain rising attention in research and practice as potential non …

Open innovation crowdsourcing enables online crowds to quickly generate a plethora of
creative ideas. A key challenge is the convergence of ideas for further consideration from …

Trust is frequently investigated as an indicator of a mutual relationship. Trust is especially
important for globally distributed collaboration in light of the lack of face-to-face interactions …

We study how the knowledge that software developers receive from other software
developers in their company impacts their performance. We also study the boundary …

Collaborative brainstorming is often followed by a convergence activity where teams extract
the most promising ideas on a useful level of detail from the brainstorming results. Contrary …

Large numbers of incomplete, unclear, and unspecific submissions on idea platforms hinder
organizations to exploit the full potential of open innovation initiatives as idea selection is …

Crowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute
to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a …